Info

DevOps > Test 59 - Z Image Turbo > 2025-11-27-00015-Z-Image-Turbo-1024x1024-Seed21-CFG1-AG0-STEP9.jpg

prompt = "Young Chinese woman in red Hanfu, intricate embroidery. Impeccable makeup, red floral forehead pattern. Elaborate high bun, golden phoenix headdress, red flowers, beads. Holds round folding fan with lady, trees, bird. Neon lightning-bolt lamp (⚡️), bright yellow glow, above extended left palm. Soft-lit outdoor night background, silhouetted tiered pagoda (西安大雁塔), blurred colorful distant lights."

# 2. Generate Image
image = pipe(
    prompt=prompt,
    height=1024,
    width=1024,
    num_inference_steps=9,  # This actually results in 8 DiT forwards
    guidance_scale=0.0,     # Guidance should be 0 for the Turbo models
    generator=torch.Generator("cuda").manual_seed(42),
).images[0]

Test 0 - Different seed variations

Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling

Time: 2m 52.64s | total 182.41 pipeline 167.45 preview 5.81 decode 5.16 callback 2.36 te 1.32 gc 0.29 | GPU 22700 MB 18% | RAM 33.25 GB 27%

Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.

Prompt: Generate a photo of a woman's legs, with her feet crossed and wearing white high-heeled shoes with ribbons tied around her ankles. The shoes should have a pointed toe and a stiletto heel. The woman's legs should be smooth and tanned, with a slight sheen to them. The background should be a light gray color. The photo should be taken from a low angle, looking up at the woman's legs. The ribbons should be tied in a bow shape around the ankles. The shoes should have a red sole. The woman's legs should be slightly bent at the knee.

CFG1, STEP9	Seed: 1620085323	Seed:1931701040	Seed:4075624134	Seed:2736029172
bookshop girl
hand and face
legs and shoes

Test 1 - Bookshop

Prompt: photorealistic girl in bookshop choosing the book in romantic stories shelf. smiling

4075624134

	2	4	9	12	16
CFG1

Test 2 - Face and hand

Prompt: Create a close-up photograph of a woman's face and hand, with her hand raised to her chin. She is wearing a white blazer and has a gold ring on her finger. Her nails are neatly manicured and her hair is pulled back into a low bun. She is smiling and has a radiant expression on her face. The background is a plain light gray color. The overall mood of the photo is elegant and sophisticated. The photo should have a soft, natural light and a slight warmth to it. The woman's hair is dark brown and pulled back into a low bun, with a few loose strands framing her face.

Time: 6m 50.59s | total 435.39 pipeline 405.33 preview 15.59 decode 5.24 callback 4.91 te 4.01 gc 0.30 | GPU 2886 MB 2% | RAM 49.37 GB 39%

	2	4	9	12	16
CFG1
CFG2

Test 3 - Legs

Prompt: Generate a photo of a woman's legs, with her feet crossed and wearing white high-heeled shoes with ribbons tied around her ankles. The shoes should have a pointed toe and a stiletto heel. The woman's legs should be smooth and tanned, with a slight sheen to them. The background should be a light gray color. The photo should be taken from a low angle, looking up at the woman's legs. The ribbons should be tied in a bow shape around the ankles. The shoes should have a red sole. The woman's legs should be slightly bent at the knee.

2736029172

	4	6	9	13	17	26
CFG0

Test 4 Other Model Covers

Test 5 Art Prompts

Test 6 - Empty prompts

seed 1	seed 2	seed 3	seed 4	seed 5
seed 6	seed 7	seed 8	seed 9
seed 42	seed 324	seed 777

Test 7 - Celebrities and characters

Test 8 - CivitAi generations

System info

Thu Nov 27 19:01:49 2025
arch: x86_64 cpu: x86_64 system: Linux release: 6.14.0-36-generic
python: 3.12.3 Torch: 2.9.1+xpu 
device: Intel(R) Arc(TM) Graphics (1)
ram: free:117.8 used:7.54 total:125.33
xformers: diffusers: 0.36.0.dev0 transformers: 4.57.1
active: xpu dtype: torch.bfloat16 vae: torch.bfloat16 unet: torch.bfloat16
base: Diffusers/Tongyi-MAI/Z-Image-Turbo [8dc64d5281] refiner: none vae: none te: none unet: none
Backend: ipex Pipeline: native Cross-attention: Scaled-Dot-Product

Config

{
  "diffusers_version": "6bf668c4d217ebc96065e673d8a257fd79950d34",
  "sd_checkpoint_hash": null,
  "diffusers_offload_mode": "none",
  "ui_request_timeout": 300000,
  "huggingface_token": "hf_...FraU",
  "extra_network_reference_values": true,
  "sd_model_checkpoint": "Diffusers/Tongyi-MAI/Z-Image-Turbo [8dc64d5281]"
}

Model info

Diffusers/Tongyi-MAI/Z-Image-Turbo [8dc64d5281]

Module	Class	Device	Dtype	Quant	Params	Modules	Config
vae	AutoencoderKL	xpu:0	torch.bfloat16	None	83819683	241	FrozenDict({'in_channels': 3, 'out_channels': 3, 'down_block_types': ['DownEncoderBlock2D', 'DownEncoderBlock2D', 'DownEncoderBlock2D', 'DownEncoderBlock2D'], 'up_block_types': ['UpDecoderBlock2D', 'UpDecoderBlock2D', 'UpDecoderBlock2D', 'UpDecoderBlock2D'], 'block_out_channels': [128, 256, 512, 512], 'layers_per_block': 2, 'act_fn': 'silu', 'latent_channels': 16, 'norm_num_groups': 32, 'sample_size': 1024, 'scaling_factor': 0.3611, 'shift_factor': 0.1159, 'latents_mean': None, 'latents_std': None, 'force_upcast': True, 'use_quant_conv': False, 'use_post_quant_conv': False, 'mid_block_add_attention': True, '_class_name': 'AutoencoderKL', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--Tongyi-MAI--Z-Image-Turbo/snapshots/8dc64d5281ef263238d1b12eb617b4bf1ed3ff2f/vae'})
text_encoder	Qwen3Model	xpu:0	torch.bfloat16	None	4022468096	545	Qwen3Config { "architectures": [ "Qwen3ForCausalLM" ], "attention_bias": false, "attention_dropout": 0.0, "bos_token_id": 151643, "dtype": "bfloat16", "eos_token_id": 151645, "head_dim": 128, "hidden_act": "silu", "hidden_size": 2560, "initializer_range": 0.02, "intermediate_size": 9728, "layer_types": [ "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention", "full_attention" ], "max_position_embeddings": 40960, "max_window_layers": 36, "model_type": "qwen3", "num_attention_heads": 32, "num_hidden_layers": 36, "num_key_value_heads": 8, "rms_norm_eps": 1e-06, "rope_scaling": null, "rope_theta": 1000000, "sliding_window": null, "tie_word_embeddings": true, "transformers_version": "4.57.1", "use_cache": true, "use_sliding_window": false, "vocab_size": 151936 }
tokenizer	Qwen2Tokenizer	None	None	None	0	0	None
scheduler	FlowMatchEulerDiscreteScheduler	None	None	None	0	0	FrozenDict({'num_train_timesteps': 1000, 'shift': 3.0, 'use_dynamic_shifting': False, 'base_shift': 0.5, 'max_shift': 1.15, 'base_image_seq_len': 256, 'max_image_seq_len': 4096, 'invert_sigmas': False, 'shift_terminal': None, 'use_karras_sigmas': False, 'use_exponential_sigmas': False, 'use_beta_sigmas': False, 'time_shift_type': 'exponential', 'stochastic_sampling': False, '_use_default_values': ['base_shift', 'max_shift', 'use_karras_sigmas', 'shift_terminal', 'base_image_seq_len', 'invert_sigmas', 'max_image_seq_len', 'use_exponential_sigmas', 'time_shift_type', 'use_beta_sigmas', 'stochastic_sampling'], '_class_name': 'FlowMatchEulerDiscreteScheduler', '_diffusers_version': '0.36.0.dev0'})
transformer	ZImageTransformer2DModel	xpu:0	torch.bfloat16	None	6154908736	697	FrozenDict({'all_patch_size': [2], 'all_f_patch_size': [1], 'in_channels': 16, 'dim': 3840, 'n_layers': 30, 'n_refiner_layers': 2, 'n_heads': 30, 'n_kv_heads': 30, 'norm_eps': 1e-05, 'qk_norm': True, 'cap_feat_dim': 2560, 'rope_theta': 256.0, 't_scale': 1000.0, 'axes_dims': [32, 48, 48], 'axes_lens': [1536, 512, 512], '_class_name': 'ZImageTransformer2DModel', '_diffusers_version': '0.36.0.dev0', '_name_or_path': '/mnt/models/Diffusers/models--Tongyi-MAI--Z-Image-Turbo/snapshots/8dc64d5281ef263238d1b12eb617b4bf1ed3ff2f/transformer'})